title: A portable real-time ECG recognition system based on smartphone.
abstract: This paper proposed an smartphone-based real-time ECG monitoring and recognition system. The ECG signal was acquired by a MSP430FG4618 low-power microprocessor and was converted via a Bluetooth module for wireless transmission to a smartphone. A noise-tolerant ECG heartbeat recognition algorithm based on discrete wavelet transform and higher-order statistics was employed to identify different types of heartbeats. This system achieved a high accuracy of 98.34 % in identifying seven heartbeat types, which was demonstrated to outperform other studies in the literature. The heartbeat types were recognized in real-time; only 78 ms was required to identify a heartbeat. The portability, real-time processing, and high recognition rate of the system demonstrate the efficiency and effectiveness of the device as a practical computer-aided diagnosis (CAD) system.
authors.forename: Tzu-Hao
authors.initials: TH
authors.lastname: Yen
authors.forename: Chung-Yu
authors.initials: CY
authors.lastname: Chang
authors.forename: Sung-Nien
authors.initials: SN
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D040421:Cell Phone; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D058067:Wavelet Analysis